His current research interests include big graph mining, time series mining, and designing intelligent & scalable algorithms for massive data. Graphs and series are fundamental representations of many key applications in a wide range of online behaviors (socializing, shoppings, media, etc), networks, circuits, stock tradings, and medical data. The related publications are on TKDE, AAAI, IJCAI, CIKM, PKDD, WWW, SDM, TCAD, TODAES, DAC, etc.

• Visiting Researcher, Dept. of Computer Science, Carnegie Mellon University, 08/2016-08/2017
• Visiting Ph.D. student of the University of California, Los Angeles (UCLA), 09/2006-12/2007
• M.S. and Ph.D. degrees, Dept. of Computer Science & Technology, Tsinghua University, 08/2005-06/2010

​

He is now an Associate Professor at Institute of Computing Technology, Chinese Academy of Sciences.

He spent his one-year sabbatical at Computer Science Department, Carnegie Mellon University (CMU), as a research scholar. He was hosted and supervised by Professor Christos Faloutsos.

He received his Ph.D. degree from Computer Science & Technology Department, Tsinghua University in 2010, and visited Electronic Engineering Department, University of California, Los Angeles (UCLA) for more than a year as a Ph.D. student. He was hosted and supervised by Professor Lei He. He is in consequence listed as one of the Alumni in Academia by UCLA.

• Shenghua Liu, Bryan Hooi, and Christos Faloutsos, "HoloScope: Topology-and-Spike Aware Fraud Detection," In Proc. of ACM International Conference on Information and Knowledge Management (CIKM), Singapore, 2017, pp.1539-1548. [paper][slides][code]
• Shenghua Liu, Bryan Hooi, Christos Faloutsos, A Contrast Metric for Fraud Detection in Rich Graphs, IEEE Transactions on Knowledge and Data Engineering, 2019.
• Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng, Beyond outliers and on to micro-clusters: Vision-guided anomaly detection, In Proc. of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), 2019, Macau, China.
• Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, and Jing Ye. BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series, International Joint Conference on Artificial Intellince (IJCAI) 2019.
• Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng. NeuCast: Seasonal Neural Forecast of Power Grid Time Series, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-18), Stockholm, Sweden, July 13-19, 2018. [code]
• Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos, SMF: Drift-Aware Matrix Factorization with Seasonal Patterns, In Proc. of the SIAM International Conference on Data Mining (SDM19), 2019.
• Bryan Hooi, Shenghua Liu, Asim Smailagic, and Christos Faloutsos, BEATLEX: Summarizing and Forecasting Time Series with Patterns, The European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Skopje, Macedonia, 2017. [code]
• Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, and Yaohang Li: Single-pass PCA of large high-dimensional data, in Proc. the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Austrila, Aug. 2017, pp.3350-3356. [code][paper]
• Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix, In Proc. of the SIAM International Conference on Data Mining (SDM), 2013: 749-757.
• Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao and Xueqi Cheng. Cascade dynamics modeling with attention-based recurrent neural network, in Proc. the 26th International Joint Conference on Artificial Intelligence (IJCAI-17). Melbourne, Australia, 2017, pp.2985-2991.
• Yongqing Wang, Huawei Shen, Shenghua Liu and Xueqi Cheng. Learning user-specific latent influence and susceptibility from information cascades. The 29th AAAI Conference on Artificial Intelligence (AAAI-15). Austin, USA, 2015: 477-483.
• Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin and Xueqi Cheng, Predict Anchor Links across Social Networks via an Embedding Approach, In Proc. of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pp. 1823-1829, July 9-15, New York City, New York, USA.
• Shenghua Liu, Houdong Zheng, Xiangwen Liao, Shenghua Wei, and Xueqi Cheng: Learning Concise Representations of Users' Influences through Online Behaviors, in Proc. the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Austrila, Aug. 2017, pp.2351-2357.
• Shenghua Liu, Xueqi Cheng, Fuxin Li, and Fangtao Li, TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, No. 6, June 2015, pp. 1696-1709.
• Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng and Huawei Shen, Adaptive Co-Training SVM for Sentiment Classification on Tweets, In Proc. of ACM International Conference on Information and Knowledge Management (CIKM), 2013: 2079-2088.
• Shenghua Liu, Xueqi Cheng, Fangtao Li, Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure, In Proc. of Twenty-Eighth Conference on Artificial Intelligence (AAAI-14), 2014: 1235-1241.

Geometric and topological graph-based algorithms in application of large-scale circuit design

• Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Tianpei Zhang, Robi Dutta, Xian-Long Hong, Substrate Topological Routing for High Density Packages, IEEE trans. on Computer Aided Design (TCAD), Vol.28, No.2, 2009, pp207-216.
• Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Robi Dutta, Xian-Long Hong, Effective Congestion Reduction for IC Package Substrate Routing, ACM Trans. on Design Automation of Electronic System (TODAES), Vol. 15, Issue 3, 2010.
• Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Tianpei Zhang, Robi Dutta, Xian-Long Hong, Topological Routing to Maximize Routability for Package Substrate, In Proc. of 45th ACM/EDAC/IEEE Design Automation Conference (DAC), Anaheim, June 2008, pp.566-569.
• Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Robi Dutta, Xian-Long Hong, Diffusion-Driven Congestion Reduction for Substrate Topological Routing, In Proc. of International Symposium on Physical Design (ISPD SIGDA) 2009, Mar. 2009, pp175-180.
• Shenghua Liu, Yuchun Ma, Xian-Long Hong, Yu Wang, Simultaneous Slack Budgeting and Retiming for Synchronous Circuits Optimization, In Proc. of 15th Asia and South Pacific Design Automation Conference (ASP-DAC), 2010, pp. 49-54. (Best paper candidate)

[P1] A FAST ROUTABILITY ESTIMATING METHOD IN VLSI, filing date 6/15/2006 (ZL 200610012271.4), issued date 7/23/2008 (CN 100405379C), by Xianlong Hong, Tong Jing, Shenghua Liu, and Jingyu Xu. (Chinese patent, issued)

[P2] DYNAMIC PUSH FOR TOPOLOGICAL ROUTING OF SEMICONDUCTOR PACKAGES, filing date: June 6, 2008, patent number: 8006216, issue date: Aug. 23, 2011, Guoqiang Chen, Kaushik Sheth, Egino Sarto, and Shenghua Liu.(US patent, issued)

[P3] AN AUTOMATED SOCIAL TAGGING METHOD AND SOCIAL TAG GENERATOR, iling date: 9/7/2011, patent number 201110263798.5, issue data: 03/30/2016, issue number: CN102289514A, Shenghua Liu, Xueqi Cheng, Jiafeng Guo, Yue Liu, Huaming Liao, and Yatao Zhu. (Chinese patent, issued)

[P4] AN OPEN-KNOWLEDGE-BASED SEMANTIC CONCEPT LINKING AND EXTENSION METHOD FOR SHORT TEXT, filing date: 3/15/2013, patent number 201310081984.6, issue date: 4/1/2015, issue number: CN 103150382B, Xueqi Cheng, Shenghua Liu, Yonglei Xiao, Yuanzhuo Wang, and Yue Liu. (Chinese patent, issued)

[P5] AN EVENT EVOLVEMENT ANALYSING METHOD FOR SHORT TEXT, filing date: 3/15/2013, patent number: ZL 201310082990.3, Xueqi Cheng, Shenghua Liu, Fuxin Li, Yuanzhuo Wang, and Yue Liu. (Chinese patent, issued)

[P6] A VISUALIZING METHOD FOR DYNAMIC OPINIONS IN SOCIAL MEDIA, file date: 4/18/2013, patent number: ZL 201310134433.1, Xueqi Cheng, Shenghua Liu, Yatao Zhu, Yuanzhuo Wang, Yue Liu, and Wenjun Zhu. (Chinese patent, filed)

[P7] A REALTIME EVENT FILTERING METHOD AND SYSTEM FOR STREAMING WEB DATA, filing date: 4/19/2013, patent number: ZL 201310136896.1, Xueqi Cheng, Shenghua Liu, Wenyi Qiu, Yuanzhuo Wang, Yue Liu, Yi Mo, and Zhankun Huang. (Chinese patent, issued)

已指导学生

周斌  硕士研究生  085211-计算机技术  

现指导学生

张嘉宝  硕士研究生  085211-计算机技术  

曾四为  硕士研究生  081203-计算机应用技术  

丁泉  硕士研究生  085400-电子信息  

• Outstanding research staff, Institute of Computing Technology, Chinese Academy of Sciences, 2012
• Outstanding dissertation, Tsinghua University, 2010.
• Microsoft Research Asia (MSRA) fellowship, 2009.
• The honor of Academic Rising Star, Dept. of CS&T, Tsinghua Univisity 2009

• Reviewer of IEEE Transactions on Knowledge and Data Engineering(TKDE), ACM Transactions on Knowledge Discovery from Data(TKDD), Chinese Journal of Computers(JSC), Chinese Journal of Computers, etc.
• PC member of The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16).
• Committee member of Social Media Processing of Chinese Information Processing, (2013--present)

• National Science Foundation of China (NSFC, 61772498), Shenghua Liu, Xiaoqian Sun, Xiaona Liu, et al, 2018-2021.
• Beijing Natural Science Foundation (Beijing NSF, 4172059), Shenghua Liu, Wentao Ouyang, et al., 2017-2019.
• National Science Foundation of China (NSFC, 61572467), Shenghua Liu, Pan Du, Dayong Wu, et al, 2016.
• National Science Foundation of China (NSFC, 61202213), Shenghua Liu, Kai Feng, Yanfeng Wang, et al, 2013-2015.
• National Science Foundation of China (NSFC, 61472400), Huawei Shen, Haiqiang Chen, Shenghua Liu, et al, 2015-.
• Participation of tasks from National Grand Fundsamental Research 973 Program of China, "social network analysis and information propagation (No.2013CB329602, 2013CB329606, 2015-2017), and Fundamental Theories and Applications of Web Big Data (No.2014CB340401, 2014.01- ).